Methods and Systems for Near-Field MIMO Communications

ABSTRACT

A near-field communication (NFC) system supports increased data rates using a multiple-input-multiple-output (MIMO) interface. Multiple receive antennas are positioned within the near field of multiple transmit antennas. The NFC system uses a combination of antenna spacing and polarizations to reduce correlation between channels, and thus improves performance by creating closer to ideal MIMO operation. Such system can also be operated as parallel SISO links with reduced cross-channel interference resulting in low power consumption.

BACKGROUND

Radio systems used for communications include a transmitter and a receiver. The transmitter sends an electrical signal to a radiating element (antenna), which facilitates the propagation of the signal as electromagnetic waves that can travel through free space. The electromagnetic wave can be intercepted by a receiving antenna (receiver), which captures some of the energy of the wave. The receiver converts the captured energy into a received signal that can be interpreted to recover the information conveyed from the transmitter.

This disclosure relates to “near-field” communication systems, as opposed to “far-field” radio systems. The distinctions between near-field and far-field systems relate to the distance separating the transmit and receive antennas. Assuming a transmitting antenna with a largest dimension D transmitting a signal of wavelength λ, for example, the receive antenna is in the near field if the distance separating the transmitting and receiving antennas is less than 2D²/λ. Larger separations place the receive antenna in the far field. The distinction between the near and far fields is important because some components of a transmitted signal fall-off rapidly with distance. The properties of transmitted electromagnetic waves therefore change dramatically between the near and far fields.

Near Field Communication (NFC) is a wireless technology that supports communication within the near field region. Typical uses include RFID, contactless payment methods, identity documents, and electronic keys, all of which are low data-rate applications. More recently, NFC is a candidate for mobile-to-mobile communication, and for communication within electronic products. Such wireless interconnection technologies often require higher data rates than traditional NFC systems.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 illustrates a near-field communication (NFC) system 100 that supports increased data rates using a multiple-input-multiple-output (MIMO) interface.

FIG. 2 depicts three antennas 200, 205, and 210 that can be used for the transmit antennas of FIG. 1 to provide polarization diversity.

FIG. 3 depicts an NFC system 300 in which a MIMO transmitter 305 and MIMO receiver 310 communicate via a near-field matrix channel 315.

FIG. 4 illustrates an antenna 400 that supports three polarizations, and that can be used for antennas 320 of FIG. 3.

FIG. 5 depicts a switch 500 illustrating how polarization-select circuitry 325 of FIG. 3 can provide one or more of three polarities.

FIG. 6 depicts a switch 600 illustrating how polarization-select circuitry 330 of FIG. 3 can select one or more of three polarities.

FIG. 7 is a flowchart 700 illustrating a method of optimizing antenna polarization and position diversity for system 300 of FIG. 3 in accordance with one embodiment.

FIG. 8 depicts an antenna 800 in accordance with another embodiment. Antenna 800 actually includes three discrete antennas, a bond-wire antenna 815 and two perpendicular dipole strips 805 and 810.

FIG. 9 depicts a pair of adjacent integrated-circuit packages 905 and 910, each of which includes a respective array of antennas 915 and 920 that form a near-field matrix channel in accordance with one embodiment.

FIG. 10 depicts an NFC system 1000 in which a MIMO transmitter 1005 and MIMO receiver 1010 communicate via a near-field (NF) channel 1015.

DETAILED DESCRIPTION

FIG. 1 illustrates a near-field communication (NFC) system 100 that supports increased data rates using a multiple-input-multiple-output (MIMO) interface. System 100 includes a first circuit 105, a MIMO transmitter, with Nt transmit antennas Ta[Nt:1] to transmit Nt radio-frequency (RF) signals to Nr receive antennas Ra[Nr:1] of a second circuit 110, a MIMO receiver. MIMO transmitter 105 sends the Nt signals via respective antennas Ta[Nt:1] through an air interface that provides a matrix channel 125. The Nt signals and Nr receive antennas create Nt*Nr signal paths between the transmit and receive antennas. Each receive antenna thus receives a signal vector that combines components of Nt transmitted signals. Receiver 110 receives and decodes the resulting Nr signal vectors to recover the originally transmitted information.

System 100 uses a combination of antenna spacings and polarizations to reduce correlations between the near-field paths of matrix channel 125, and thus improves channel matrix invertibility and allows for closer to ideal MIMO operation. System 100 thus increases the effective data rate achieved through MIMO techniques. The resulting cumulative data rate of the proposed MIMO system is considerably increased over conventional near-field systems. System 100 illustrates a one-directional MIMO system, but can be modified to support bi-directional communication, either using the same or different sets of antennas.

Transmitter 105 includes a data-mapping unit 115 that divides a data stream signal DATA, received on a like-named node, into parallel data streams 120. RF transmitters RFt, tuned to a center frequency f and wavelength λ, transmit the parallel data streams 120 as Nt respective modulated signals via respective transmit antennas Ta[Nt:1] into channel 125. Each transmit antenna has a largest dimension D. For example, the largest dimension of antenna Ta1 is D₁. In embodiments in which the largest dimension D_(i) varies among antennas, the greatest of these is termed the maximum dimension D. In the illustration of FIG. 1, the largest dimension D_(i) is the same for all antennas, so maximum dimension D equals dimension D_(i). Dimensions D and D_(i) may be selected to efficiently transmit RF signals equal or near wavelength λ.

Because system 100 is an NFC system, the transmit antennas Ta[Nt:1] and receive antennas Ra[Nr:1] are separated from one another by a distance of less than 2D²/λ, which puts the receive antennas Ra[Nr:1] in the near field of the transmit antennas. The distance of up to 2D²/λ from a transmit antenna is sometime referred to as the “Fresnel zone.” In some embodiments, all of receive antennas Ra[Nr:1] are within the near field of each transmit antenna. On the receive side, RF receive front ends RFr transfer signals recovered by receive antennas Ra[Nr:1] from channel 125 to a data-recovery unit 130, which processes the recovered signals to recreate the data signal DATA originally sourced from transmitter 105.

Data mapping unit 115 and recovery unit 130 are conventional in this example, and the design and operation thereof are well known to those of skill in the art. Detailed discussions of those components are therefore omitted. Briefly, a transmit processing block 132 encodes digital data DATA into a number of parallel data streams. Spatial mapping logic 135 uses a MIMO mapping scheme to map these data streams to corresponding digital-to-analog converters D/A, one for each RF transmitter RFt. Signals are mapped before conversion to analog signals in this example, but the mapping may also be accomplished in the analog domain. A number of mapping schemes may be used, and these fall within the general categories of precoding, spatial multiplexing, and diversity coding. Each of these mapping schemes spreads the information in data signal DATA across the transmit antennas to form a matrix channel in which transmit antennas convey redundant symbols.

Spatial mapping logic 135 does not require equal numbers of inputs and outputs, and various special mappings can be used in assigning inputs to outputs. In receiver 110, data recovery unit 130 converts the signals from receivers RFr from analog to digital signals, using analog-to-digital (A/D) converters, and de-maps the resulting digital data streams using de-mapping logic 140. A final processing block 145 detects, decodes, and de-multiplexes the parallel data streams from de-mapping logic 140 to recover the original data DATA. Block 145 combines the signals from the receive antennas using a de-mapping scheme that complements the MIMO mapping scheme employed at the transmitter. In other embodiments the de-mapping may be accomplished in the analog domain.

System 100 reduces correlation between channels using different polarizations, which can reduce the need for high bandwidth to achieve a high data rate in a NFC system. Specifically, different ones of transmit antennas Ta[Nt:1] have different polarizations, respective polarizations p[3:1] in this embodiment. Antenna polarization refers to the orientation of the electric field of a transmitted radio wave with respect to a reference, such as the Earth's surface, and is determined by the physical structure of the antenna and by its orientation. The different polarizations p[3:1] of the transmit antennas Ta[Nt:1] create polarization diversity among the RF signals within channel 125. Receive antennas Ra[Nr:1] offer a mixture of polarizations that are optimally selected to take advantage of the polarization diversity of the signals within channel 125 and minimize correlation between the links. In this example, the three depicted transmit-side antennas have three respective polarizations, and the depicted receive-side antennas have the same three polarizations. More generally, some mixture of polarizations is used at the transmit side of channel 125 to reduce signal correlation within the channel to allow some number of receive antennas to better discriminate between those signals.

Although system 100 includes equal numbers of transmit and receive antennas, this equality is not necessary. The transmitted RF signals can be modulated in various forms (phase, magnitude, or both) to convey information, as is well known to those of skill in the art. Where a transmitted signal has more than a single frequency tone, wavelength λ refers to the mean wavelength of the transmitted RF signals.

FIG. 2 depicts three antennas 200, 205, and 210 that can be used for the transmit antennas of FIG. 1 to provide polarization diversity. Antenna 200 is a patch antenna disposed over a ground plane 215 and including a feed 220. A transmission line 225 provides a single-ended signal to feed 220. Antenna 205 is similar, but the feed 225 is oriented at a ninety-degree angle with respect to the otherwise similar feed of antenna 200; as a consequence, the electric fields of the transmitted signals from antennas 200 and 205 will be oriented differently. The third antenna 210, a loop antenna, transmits a differential signal Diff as an RF signal having an electric field oriented differently to the electric fields of the signals transmitted by antennas 200 and 205.

Antennas 200, 205, and 210 can be used to provide the three polarities p1, p2, and p3 of FIG. 1. Receiver 110 can use a similar array of antennas to take advantage of the polarization diversity of channel 125. Where the maximum dimension D_(i) differs between antennas, the near-field spacing between antenna arrays in a MIMO system is determined by the largest of dimensions D_(i) for the antennas in the array. In the example of FIG. 2, dimensions D₁ and D₂ are equal, and are greater than dimension D₃. Assuming antenna's 200, 205, and 210 were used in MIMO system 100 of FIG. 1, dimension D for calculating the near field would be equal to dimensions D₁ and D₂, and would be greater than dimension D₃.

FIG. 3 depicts an NFC system 300 in which a MIMO transmitter 305 and MIMO receiver 310 communicate via a near-field matrix channel 315. The antenna separation defining channel 315 is called out as less than the greater of 2D²/λ and λ/2π. The wavelength divided by twice pi (λ/2π), is an alternate definition for the near field region.

System 300 is in some ways similar to system 100 of FIG. 1, with like-identified elements being the same or similar. System 300 differs from system 100, however, in that the polarization of each antenna 320 used to create matrix channel 315 is adjustable. The polarizations of the transmit and receive antennas can therefore be optimized for a given operational environment. To provide polarization diversity, for example, the three transmit-side antennas might have three different polarizations, and the three receive-side antennas may have the same three polarizations arranged in the same or a different manner, or may have a different combination of polarizations. In some embodiments, the same polarization may be used for multiple antennas on either side of channel 315. For example, a mixture of three polarizations can be used in various ratios and positions for some larger number of transmit antennas, receive antennas, or both. System 300 may thus use both polarization diversity and polarization placement to optimize the MIMO interface.

Transmitter 305 and receiver 310 include respective polarization-select circuitry 325 and 330 to allow them to change the polarizations of transmit and receive antennas 320, respectively. Receiver 310 additionally includes test circuitry 335 and control logic 340. Test circuitry 335 issues a quality signal Qua1 indicative of the quality of the received signal DATA. Signal Qua1 might be, for example, a measure of the bit-error rate (BER) of the MIMO system. Control logic 340 is connected to polarization-select circuitry 330 and, via a wired or wireless backchannel 345, to polarization select circuitry 325. During a calibration sequence, control logic 340 steps through the available combinations of polarizations for the transmit and receive antennas and records quality signal Qua1 for each combination. Control logic 340 then selects the combination that produces the most desirable quality signal Qua1 as the optimum settling. Control logic might, for example, determine the combination of transmit and receive antenna polarizations that produce the lowest error rate for a desired level of speed performance. Either or both of test circuitry 335 and control logic 340 can be located elsewhere in communication system 300, including on the transmitter 305. Some conventional systems include some form of test circuitry within data recovery unit 145, and this may be adapted for use in other embodiments.

FIG. 4 illustrates an antenna 400 that supports three polarizations, and that can be used for antennas 320 of FIG. 3. Antenna 400 includes a loop antenna 405 with a differential feed fp1 and a patch antenna 410 with two orthogonal single-ended feeds fp2 and fp3. A ground plane 415 underlying the loop and patch antennas serves as the reference for patch antenna 410 as described earlier in connection with FIG. 2. Each of the loop and patch antenna planes can be separated from one another via insulating layers. These types of antenna structures are easily formed on integrated-circuit dies, packages, and printed-circuit boards. As shown, the largest dimensions D_(i) are dimension D₁, for loop antenna 405, and dimension D₂ for patch antenna 410. The greater of these, dimension D₂, is the largest dimension D in this example.

FIG. 5 depicts a switch 500 illustrating how polarization-select circuitry 325 (in transmitter 305) of FIG. 3 can provide one or more of three polarities for a signal from one of RF transmit amplifiers RFt when its outputs are connected to three feeds fp1, fp2, and fp3 of e.g. antenna 400 of FIG. 4. An input select port Sel1 connects a single-ended input from amplifier RFt to one or more of three single-ended outputs. The uppermost output feeds a balun 505 that converts the single-ended signal to a differential signal for feeding the differential input of e.g. loop antenna 405. Polarization-select circuitry 325 can include a similar de-multiplexer for each MIMO channel. Alternatively, each antenna array can have a mixture of fixed and adjustable antennas, and select circuitry 325 can be configured accordingly.

FIG. 6 depicts a switch 600 illustrating how polarization-select circuitry 330 (in receiver 310) of FIG. 3 can select one or more of three polarities for signals received from a single or multiple antennas, such as an antenna 400 of FIG. 4. An input select port Sel2 selectively connects one or more of three inputs to the input of a receive amplifier RFr. The uppermost input includes a balun for converting a differential input to a single-ended signal for interfacing with e.g. a loop antenna. Polarization-select circuitry 330 can include a similar multiplexer for each MIMO channel. Alternatively, each antenna array can have a mixture of fixed and adjustable antennas, and select circuitry 330 can be configured accordingly.

FIG. 7 is a flowchart 700 illustrating a method of optimizing antenna polarization and position diversity for system 300 of FIG. 3 in accordance with one embodiment. Beginning at 705, two variables X and Qmax are set to their initial values. The value X is representative of a collective setting for polarization and spatial diversity for both sides of the MIMO channel. In system 300, for example, X represents the location and selected polarization of each antenna 320 in the transmit and receive antenna arrays. Qmax represents the highest quality measure for the MIMO channel in the signaling environment for which it is tested. BER is the measure of quality in this example, but other measures might be used with BER or in the alternative. For example, the MIMO channel might be tuned to provide the lowest power usage for a given minimum bandwidth, or to maximize bandwidth without exceeding a specified maximum BER.

At 710, controller 340 causes select circuitry 325 and 330 to select the combination of transmit and receive polarizations indicated by the variable X. The value X can represent all or a subset of the possible combinations. In other embodiments only a subset of the antennas are configurable (e.g., only the receive side, or a limited subset of one or both sides).

In 715, the MIMO channel is exercised and the quality measured. This process may be performed with the channel under some stress to increase the BER, and thus shorten the test process. Test circuitry 335 measures the quality of the MIMO channel (715) and compares the resulting quality value Q[X] with the value Qmax. If the measured value Q[X] is greater than Qmax, then Qmax is set Q[X] and a variable Xmax, which represents the best mixture of polarizations and their use locations in the antenna arrays, is set to X (725). Otherwise, the variable X is changed to its next setting X[next] (730) and test circuitry 335 decides whether all values of X have been considered (decision 735). If not, the process returns to 710 and repeats for the next value of X. If all X values have been considered, the polarization mix and their use locations in the antenna arrays is set to the value Xmax (740) and the calibration sequence is complete. This procedure can be carried out once, or can be repeated periodically to accommodate changes in the signaling environment.

FIG. 8 depicts an antenna 800 in accordance with another embodiment. Antenna 800 actually includes three discrete antennas, a bond-wire antenna 815 and two perpendicular dipole strips 805 and 810. Each of dipole strips 805 and 810 is made up of two collinear segments, and each segment includes a signal feed 820. Bond-wire antenna has a single feed 830 at one end. This collection of elements can be used to select from among three polarities in some embodiments. As with the antenna structures discussed previously, these structures can be easily formed on integrated circuits, packages, and printed-circuit boards.

FIG. 9 depicts a pair of adjacent integrated-circuit packages 905 and 910, each of which includes a respective array of antennas 915 and 920 that form a near-field matrix channel in accordance with one embodiment. Antenna 915 and 920 are arranged in linear arrays in this example, but other arrangements might also be used. The spacings between ones of antennas 915 and ones of antennas 920 range from a minimum of distance 925 and a maximum of distance 930. Both the minimum and maximum distances 925 and 930 place the receive antennas within the near field of each transmit antenna in this embodiment, but other arrangements are possible.

The relative configuration of polarizations in antenna arrays will vary in embodiments used in support of mobile communication (e.g., between cellular phones or personal digital assistants). In such cases devices sensing one another might go through a calibration sequence to determine the optimum polarization settings for a given orientation, or may repeat the calibration sequence periodically or responsive to e.g. errors to maintain a quality connection. Communication bandwidth might also be adjusted based on connection quality. In addition, or alternatively, mobile devices might provide users some feedback as to the effectiveness of a given placement and orientation of a mobile device with respect to a corresponding transmitter or receiver.

FIG. 10 depicts an NFC system 1000 in which a MIMO transmitter 1005 and MIMO receiver 1010 communicate via a near-field (NF) channel 1015. System 1000 is in some ways similar to systems 100 and 300 of FIGS. 1 and 3, respectively, with like-identified elements being the same or similar. System 1000 differs from those systems, however, in that system 1000 supports at least two performance modes. In one mode, system 1000 operates through NF channel 1015 as a MIMO system, as described above. In a low power operational mode, system 1000 operates through NF channel 1015 as multiple single-input-single-output (SISO) systems. This results in a combined system with improved tolerance to interference, which simplifies signal recovery at the receiver and consequently saves power.

MIMO transmitter 1005 and MIMO receiver 1010 include respective mode registers 1025 and 1030, the outputs of which are connected to a data mapping unit 1011 and a data recovery unit 1012 to deliver respective mode-control signals LP/HPt and LP/HPr. In a high-performance mode, each of registers 1025 and 1030 stores a value that sets mapping unit 1011 and recovery unit 1012 to behave as the similarly named units 115 and 145 described above in connection with the embodiments of FIGS. 1 and 3. As in the prior examples, each transmit antenna transmits a signal to the receive antennas, and each receive antenna receives the resultant collection of Nt signal vectors. One such vector is illustrated as three signals 1035 arriving together at receive antenna Ra1 from the three transmit antennas TA[Nt:1]. Similar vectors, not shown, combined to make NF channel 1015 a matrix channel in the high-performance mode.

In the low-power mode, registers 1025 and 1030 store values that reconfigure mapping unit 1011 and recovery unit 1012. Data mapping unit 1011 is converted to a de-multiplexer that simply converts data stream DATA into some number of parallel data streams, one for each of transmit antennas Ta[Nt:1] in the depicted example. The polarization diversity provided by the transmit antennas reduces interference between the resultant parallel RF signals 1020. Receive antennas Ra[Nr:1] employ this polarization diversity to distinguish between the received signals. Rather than employing the relatively complex decoding techniques employed by MIMO receivers, data recovery unit 1012 is reconfigured into a multiplexer that simply combines the resulting parallel signals into a recovered data stream DATA. The remaining elements of FIG. 1000 are as detailed above.

Test circuitry 335 and control circuitry 340 can be used as detailed above to optimize the settings for select circuits 325 and 330 for both the high-performance and low-power modes. Mode registers 1025 and 1030 can be omitted in favor of other sources of control signals, and the source of these control signals can be within transmitter 1005, receiver 1010, or elsewhere. For example, a MIMO receiver might support a feedback channel that indicates whether the receiver is capable of operating at the higher data rate, allowing transmitter 1005 to respond accordingly.

An output of a process for designing an integrated circuit, or a portion of an integrated circuit, comprising one or more of the circuits described herein may be a computer-readable medium such as, for example, a magnetic tape or an optical or magnetic disk. The computer-readable medium may be encoded with data structures or other information describing circuitry that may be physically instantiated as an integrated circuit or portion of an integrated circuit. Although various formats may be used for such encoding, these data structures are commonly written in Caltech Intermediate Format (CIF), Calma GDS II Stream Format (GDSII), or Electronic Design Interchange Format (EDIF). Those of skill in the art of integrated circuit design can develop such data structures from schematic diagrams of the type detailed above and the corresponding descriptions and encode the data structures on computer readable medium. Those of skill in the art of integrated circuit fabrication can use such encoded data to fabricate integrated circuits comprising one or more of the circuits described herein.

In the foregoing description and in the accompanying drawings, specific terminology and drawing symbols are set forth to provide a thorough understanding of the foregoing embodiments. In some instances, the terminology and symbols may imply specific details that are not required to practice the invention. Moreover, some components are shown directly connected to one another while others are shown connected via intermediate components. In each instance the method of interconnection establishes some desired electrical communication between two or more circuit nodes (e.g., pads, lines, or terminals). Such interconnection may often be accomplished using a number of circuit configurations, as will be understood by those of skill in the art. Therefore, the spirit and scope of the appended claims should not be limited to the foregoing description. Only those claims specifically reciting “means for” or “step for” should be construed in the manner required under the sixth paragraph of 35 U.S.C. §112. 

What is claimed is:
 1. A communication system comprising: a transmitter circuit comprising: a data mapping unit to divide a data signal into parallel data streams; a plurality of transmitters connected to the data mapping unit, each transmitter tuned to a center frequency f and wavelength λ, each transmitter to transmit a respective data stream as a respective modulated signal; and a plurality of transmit antennas, each of a largest dimension D_(i) and connected to one or more respective transmitters to transmit the respective modulated signal, the transmit antennas collectively transmitting the modulated signals of the wavelength λ; wherein a greatest of dimensions D_(i) is a maximum dimension D; and a receiver circuit comprising a plurality of receive antennas, the receive antennas to receive the signals, wherein each receive antenna is spaced from a closest one of the transmit antennas by a distance less than the greater of 2D²/λ and λ/2π.
 2. The system of claim 1, wherein the transmit antennas are oriented to transmit the modulated signals at respective polarizations.
 3. The system of claim 2, wherein the receive antennas are oriented to receive the modulated signals at the respective polarizations.
 4. The system of claim 1, wherein the receiver circuit further comprises: a plurality of receivers, each receiver tuned to the center frequency f and wavelength λ, each receiver connected to one or more respective receive antennas to recover the data streams from the modulated signals; and a data recovery unit connected to the receivers to recover the data signal from the received signals.
 5. The system of claim 1, wherein the transmitter circuit further comprises polarization selection logic to control the polarization selection among the plurality of transmitters and to the transmit antennas.
 6. The system of claim 5, wherein each transmit antenna comprises multiple signal feeds, each feed on a given transmit antenna providing a different polarization of the respective transmitted signal, and wherein the polarization selection logic selects from among the signal feeds.
 7. The system of claim 5, further comprising control circuitry connected to the polarization select logic to select from among combinations of transmit polarizations for the transmitted signals.
 8. The system of claim 5, wherein the receiver circuit further comprises second polarization selection logic to select different combinations of receive polarizations for different ones of the received signals.
 9. The system of claim 8, further comprising test circuitry to issue a quality measure based on the received signals.
 10. The system of claim 9, further comprising control logic connected to the first and second polarization select logic to select the different transmit and receive polarizations based on the quality measure.
 11. The system of claim 1, wherein ones of the transmit and receive antennas are selected from the group consisting of patch antennas and wirebond antennas.
 12. The system of claim 1, wherein the number of transmit antennas equals the number of receive antennas.
 13. The system of claim 1, wherein the data mapping unit is adapted to use a MIMO mapping scheme in a high performance mode and a de-multiplexing scheme in a low-power mode.
 14. The system of claim 13, wherein the receiver circuit further comprises: a plurality of receivers, each receiver tuned to the center frequency f and wavelength λ, each receiver connected to one or more respective receive antennas to recover the data streams from the modulated signals; and a data recovery unit connected to the receivers to recover the data signal from the received signals using a MIMO de-mapping scheme in the high-performance mode and a multiplexing scheme in the low-power mode.
 15. A method comprising: transmitting a plurality of differently polarized signals, including: dividing a data signal into parallel data streams using a MIMO mapping scheme, transmitting each data stream using a respective transmitter tuned to a center frequency f and wavelength λ to produce modulated signals, feeding the modulated signals to a plurality of transmit antennas, each transmit antenna having a largest dimension D_(i), and transmitting each of the modulated signals using a respective polarization; wherein a greatest of the largest dimensions is a maximum dimension D; and receiving the plurality of differently polarized signals using a plurality of receive antennas, wherein each receive antenna is spaced from a closest one of the transmit antennas by a distance of less than the greater of 2D²/λ and λ2/π.
 16. The method of claim 15, further comprising combining the received signals from the receive antennas to recover the data signals and analyzing the recovered data signal for signal quality.
 17. The method of claim 16, further comprising adjusting the polarizations of the modulated signals based on the signal quality.
 18. The method of claim 17, further comprising adjusting second polarizations of the receive antennas based on the signal quality.
 19. The method of claim 15, wherein analyzing the signal quality includes measuring a bit-error rate.
 20. The method of claim 15, further comprising dividing a second data signal into second parallel data streams using a de-multiplexing scheme in a low-power mode and transmitting the second parallel data streams using the transmitters.
 21. A communication system comprising: a MIMO transmitter comprising transmit antennas, each of a largest dimension D_(i), to transmit a respective modulated signal of wavelength λ; wherein a greatest of dimensions D_(i) is a maximum dimension D; and a MIMO receiver comprising receive antennas to receive the transmitted signals, wherein each receive antenna is spaced from a closest one of the transmit antennas by a distance less than the greater of 2D²/λ and λ/2π.
 22. The communication system of claim 21, wherein each receive antenna is spaced from a farthest one of the transmit antennas by the distance of less than the greater of 2D²/λ and λ/2π.
 23. The communication system of claim 22, wherein at least a subset of the transmit antennas transmit the respective radio-frequency signals at different polarizations.
 24. The communication system of claim 23, wherein at least a subset of the receive antennas receive the respective radio-frequency signals at different polarizations.
 25. The communication system of claim 21, further comprising means for adjusting polarizations for at least some of the transmit and receive antennas.
 26. The communication system of claim 21, wherein the MIMO transmitter maps a first data signal using a MIMO mapping scheme in a high-performance mode and maps a second data signal using a parallel SISO scheme in a low-power mode.
 27. The communication system of claim 26, wherein the non-MIMO mapping scheme comprises demultiplexing.
 28. A communication system comprising: a transmitter circuit comprising: a data mapping unit to divide a data signal into parallel data streams using a MIMO mapping scheme; a plurality of transmitters connected to the data mapping unit, each transmitter to transmit a respective data stream as a respective modulated signal of a wavelength; and a plurality of transmit antennas connected to one or more respective transmitters to transmit the respective modulated signal, the transmit antennas collectively transmitting the modulated signals and having a near field defined by the wavelength and antenna size; and a receiver circuit comprising a plurality of receive antennas within the near field of the transmit antennas to receive the signals.
 29. The system of claim 28, wherein the transmit antennas are oriented to transmit the modulated signals at respective polarizations.
 30. The system of claim 29, wherein the receive antennas are oriented to receive the modulated signals at the respective polarizations.
 31. The system of claim 28, wherein the data mapping unit alternatively divides the data signal into parallel data stream using a demultiplexing scheme. 